• Soojin Min, Laurie T Martin, Carolyn M Rutter, and Thomas W Concannon.
• School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Richardson, TX, USA. soojin.min@utdallas.edu.
• J Gen Intern Med. 2019 Mar 1; 34 (3): 467-472.

AbstractEmerging health care research paradigms such as comparative effectiveness research (CER), patient-centered outcome research (PCOR), and precision medicine (PM) share one ultimate goal: constructing evidence to provide the right treatment to the right patient at the right time. We argue that to succeed at this goal, it is crucial to have both timely access to individual-level data and fine geographic granularity in the data. Existing data will continue to be an important resource for observational studies as new data sources are developed. We examined widely used publicly funded health databases and population-based survey systems and found four ways they could be improved to better support the new research paradigms: (1) finer and more consistent geographic granularity, (2) more complete geographic coverage of the US population, (3) shorter time from data collection to data release, and (4) improved environments for restricted data access. We believe that existing data sources, if utilized optimally, and newly developed data infrastructures will both play a key role in expanding our insight into what treatments, at what time, work for each patient.

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